# Rent the NVIDIA GeForce RTX 3090 by the hour

Often the cheapest 24 GB GPU you can rent. Arrakis lists every available RTX 3090 across independent GPU markets, cheapest first, and rents it on one prepaid balance with automatic shutdown.

**Price right now:** As of 13 Oct 2026, 17:58 UTC, the lowest price for an NVIDIA GeForce RTX 3090 on Arrakis is $0.22 per GPU-hour, with 8 GPUs available on 2 machines.

## Specifications

- Architecture: NVIDIA Ampere
- Memory: 24 GB GDDR6X
- Memory bandwidth: 936 GB/s
- Source: [NVIDIA's RTX 3090 page](https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3090-3090ti/)

## How the RTX 3090 compares

| GPU | Memory | Memory bandwidth | Lowest price per GPU-hour on Arrakis |
|---|---|---|---|
| RTX 3090 | 24 GB | 936 GB/s | $0.22 |
| [RTX 4090](/gpus/rtx-4090.html.md) | 24 GB | About 1 TB/s | $0.45 |
| [RTX A6000](/gpus/rtx-a6000.html.md) | 48 GB | 768 GB/s | $0.42 |

## What people run on it

- Low-cost inference and experiments
- Small fine-tunes
- Learning and prototyping

## Questions

**How much does it cost to rent an RTX 3090?** As of 13 Oct 2026, 17:58 UTC, the lowest price for an NVIDIA GeForce RTX 3090 on Arrakis is $0.22 per GPU-hour, with 8 GPUs available on 2 machines. You pay the hourly price shown when you rent, from a prepaid balance. A machine bills from start to removal, and a started hour counts as a full hour.

**Can an AI agent rent the RTX 3090 on Arrakis?** Yes. Give the agent a spend-capped token and connect it over MCP or the REST API. It can search for an RTX 3090, rent it for a set number of hours, and shut it down, and it cannot spend past its cap.

**Which RTX 3090 configurations can I rent?** It depends on live supply. Each listing shows the exact model, memory, GPU count, CPU and RAM, country and region, and a reliability score, so you can choose the machine that fits.

**Do I get root access?** Yes. You SSH in as root and can run any Docker image, with your own SSH keys and optional volumes for data.


Rent it: [console](/console/#/gpus?gpu_model=RTX%203090), or `arrakis gpus search --gpu-type "RTX 3090"` (cheapest first).
Which GPU fits your model: [How much GPU memory you need](/guides/gpu-memory.html.md).